Alibaba-NLP/gte-multilingual-base
The gte-multilingual-base model is the latest in the GTE (General Text Embedding) family of models, featuring several key attributes:
Benchmarks
CQADupstackPhysicsRetrieval
Duplicate question retrieval from StackExchange Physics
Corpus: 38,314 Queries: 1,039
Performance L4 b1 c16
Corpus TPS 43.5K
Corpus p50 48.0ms
Query TPS 4.3K
Query p50 35.3ms
CosQA
Code search with natural language queries
Corpus: 6,267 Queries: 500
Performance L4 b1 c16
Corpus TPS 20.4K
Corpus p50 39.9ms
Query TPS 2.2K
Query p50 37.2ms
FiQA2018
Financial opinion mining and question answering
Corpus: 57,599 Queries: 648
Performance L4 b1 c16
Corpus TPS 44.2K
Corpus p50 54.2ms
Query TPS 4.7K
Query p50 34.9ms
LegalBenchConsumerContractsQA
Question answering on consumer contracts
Corpus: 153 Queries: 396
Performance L4 b1 c16
Corpus TPS 72.0K
Corpus p50 114.4ms
Query TPS 5.8K
Query p50 39.0ms
NFCorpus
Biomedical literature search from NutritionFacts.org
Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.3667
map at 10 0.1408
mrr at 10 0.5658
Performance L4 b1 c16
Corpus TPS 60.0K
Corpus p50 79.5ms
Query TPS 1.4K
Query p50 49.0ms
NanoFiQA2018Retrieval
Smaller subset of the FiQA financial QA dataset
Quality
ndcg at 10 0.5990
map at 10 0.5229
mrr at 10 0.6550
Performance L4 b1 c16
Corpus TPS 36.5K
Corpus p50 63.1ms
Query TPS 3.4K
Query p50 52.5ms
SCIDOCS
Citation prediction, document classification, and recommendation for scientific papers
Corpus: 25,656 Queries: 1,000
Performance L4 b1 c16
Corpus TPS 55.1K
Corpus p50 56.8ms
Query TPS 4.4K
Query p50 35.3ms
SciFact
Scientific claim verification using research literature
Corpus: 5,183 Queries: 300
Performance L4 b1 c16
Corpus TPS 63.8K
Corpus p50 69.3ms
Query TPS 6.3K
Query p50 36.8ms
StackOverflowQA
Programming question answering from Stack Overflow
Corpus: 19,931 Queries: 1,994
Performance L4 b1 c16
Corpus TPS 55.5K
Corpus p50 65.9ms
Query TPS 58.5K
Query p50 75.0ms